AI models silently corrupt documents in multi-step workflows, study finds
A new study from Microsoft Research reveals that large language models (LLMs) silently corrupt documents during extended, multi-step workflows, often in ways that are nearly impossible for humans to detect. Ben Dickson reports for VentureBeat that even the best-performing AI models degrade an average of 25% of document content across these workflows. The research team …